Many teams talk about "putting AI on the chain", but when it comes to implementation, they find that the hardest part is three things: who has the authority, where the money goes, and who is responsible when something goes wrong. Kite first breaks these first-principle issues back into engineering components. It is building an EVM-compatible Layer 1, specifically designed to handle high-frequency small settlements and mutual calls between agents; it divides identity into three layers: user, agent, and session. The user holds ultimate ownership and funds, the agent is a limited-capability executor, and the session is a short-term revocable operating window, binding limits, whitelists, rates, and downgrade strategies. In this way, long-term irreversible authorizations are rewritten into recoverable short-term delegations, and in case of anomalies, the session power is directly cut off, keeping the main agent and user assets intact. Programmable governance turns "rule approval" into a default: high-risk actions have a delayed effect, multi-signature and decentralization constraints prevent cross-role overreach, frequent anomalies lead to automatic downgrading, and blacklists are synchronized across applications. Real-time transactions are the highlight of the usage side, with advertising bidding, API data pulling, edge inference, and content generation all able to settle on a per-instance or per-time basis, and mutual adjustments between agents are linked with verifiable receipts, allowing for cost, responsibility, and revenue chains to be replayed. KITE's utility starts in two phases: early on, it focuses on participation and incentives, quickly gathering data sources, nodes, and developers into a traffic closed loop, and once mature, it opens up staking, governance, and fee offsets, tying security budgets and network usage together. EVM semantics lower the migration threshold, allowing ready-made wallets, oracles, account abstractions, and strategy custody to be reused directly. Instead of empty talk about an "AI native chain", it is better to write the boundaries of power, the paths of money, and the links of evidence into contracts that everyone can read. Kite's approach is to leave complexity to the foundation and give certainty to the users, which is precisely the step from experimentation to production in automation.
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